Abstract
| Original language | English |
|---|---|
| Title of host publication | 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST) |
| Publisher | IEEE |
| Pages | 601-605 |
| Number of pages | 5 |
| ISBN (Print) | 978-1-4799-7736-9 |
| DOIs | |
| Publication status | Published - Sep 2015 |
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Keywords
- restoration reserve
- control systems
- reserve capacity
- power consumption
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Frequency restoration reserves : provision and activation using a multi-agent demand control system. / D'Hulst, Reinhilde; Verbeeck, Jef; Caerts, Chris; Syed, Mazheruddin Hussain; Zaher, Ammar Samir Abd Elazim; Burt, Graeme.
2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST). IEEE, 2015. p. 601-605.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - Frequency restoration reserves
T2 - provision and activation using a multi-agent demand control system
AU - D'Hulst, Reinhilde
AU - Verbeeck, Jef
AU - Caerts, Chris
AU - Syed, Mazheruddin Hussain
AU - Zaher, Ammar Samir Abd Elazim
AU - Burt, Graeme
PY - 2015/9
Y1 - 2015/9
N2 - In this work a control system for restoration reserve providers is proposed in which optimal biddings of restoration reserve capacity are made based on the predicted flexibility of the reserve resources within the portfolio of the reserve provider. I t is assumed that the gate closure time for submitting reserve capacit y bids is 1 hour before activation time. The reserve capacity bids need to be formed so that activation of the capacity is always feasible, irrespective of the consumption of the portfolio before an activation request. The determination of the optimal reserve capacity bids is only based on aggregated flexibility constraint information received by the individual flexible resources within the portfolio of the reserve provider. No further resource-spe cific information is used to determine the optimal reserve capacity bid. The activation and dispatch of the required power consumption at real time is done through a market-based multi-agent control system. A simulation example, in which the reserve capacity of a portfolio of batteries is simulated, proves the feasibility of the proposed approach and shows that a high precision of the portfolio response can be obtained.
AB - In this work a control system for restoration reserve providers is proposed in which optimal biddings of restoration reserve capacity are made based on the predicted flexibility of the reserve resources within the portfolio of the reserve provider. I t is assumed that the gate closure time for submitting reserve capacit y bids is 1 hour before activation time. The reserve capacity bids need to be formed so that activation of the capacity is always feasible, irrespective of the consumption of the portfolio before an activation request. The determination of the optimal reserve capacity bids is only based on aggregated flexibility constraint information received by the individual flexible resources within the portfolio of the reserve provider. No further resource-spe cific information is used to determine the optimal reserve capacity bid. The activation and dispatch of the required power consumption at real time is done through a market-based multi-agent control system. A simulation example, in which the reserve capacity of a portfolio of batteries is simulated, proves the feasibility of the proposed approach and shows that a high precision of the portfolio response can be obtained.
KW - restoration reserve
KW - control systems
KW - reserve capacity
KW - power consumption
UR - https://ieee-collabratec.ieee.org/app/event/35723
U2 - 10.1109/SEDST.2015.7315278
DO - 10.1109/SEDST.2015.7315278
M3 - Conference contribution book
SN - 978-1-4799-7736-9
SP - 601
EP - 605
BT - 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST)
PB - IEEE
ER -